Evaluation of the Artificial Neural Network for Color Discrimination : Discrimination of Non-learned Colors

    • TAYAGAKI Yasuko
    • Information and Computer Engineering, Graduate School of Science and Technology, Niigata University
    • SEKIYA Satoko
    • Information and Computer Engineering, Graduate School of Science and Technology, Niigata University
    • SEKINE Seishi
    • Department of Biocybernetics, Faculty of Engineering, Niigata University
    • OHKAWA Masashi
    • Department of Biocybernetics, Faculty of Engineering, Niigata University

Abstract

Our research purpose is to build an artificial neural network with an excellent color discrimination capability like human being on a computer. In this study, we built the network, which was trained to learn 10 colors with different hues in the Munsell color system. Then, we examined the response of the trained network when the network was interrogated about 10 non-learned colors. The network showed a good color discrimination capability, close to that of human being.

Journal

Journal of light and visual environment   [List of Volumes]

Journal of light and visual environment 28(2), 101-103, 2004-08-00  [Table of Contents]

The Illuminating Engineering Institute of Japan (IEIJ)

References:  3

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Codes

  • NII Article ID (NAID) :
    110001143228
  • NII NACSIS-CAT ID (NCID) :
    AA00258424
  • Text Lang :
    ENG
  • Article Type :
    OTR
  • ISSN :
    03878805
  • Databases :
    CJP  NII-ELS 

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